Data science is the intersection of hacking skills, computing statistics, and knowledge. It involves extracting knowledge from data in various forms through techniques like organizing big data using Hadoop, MapReduce and Spark. Data science has many uses and opportunities. It is a growing field where data scientists can earn high salaries, though it also faces challenges like requiring strong experience and networks.

1. DATA SCIENCE
MUHAMMAD ZEESHAN IQBAL
DEPARTMENT OF COMPUTER SCIENCE AN
UET PESHAWAR JALOZAI CAMPUS

2. AIM OF THE PRESENTATION:
• To generally understand data science
• Understand the behavior of the science of data

3. INTRODUCTION:
• What is data science?
• A data science is a technique used to extract knowledge
from data in various forms
• Managing data and converting them to the information is
known as data science
• When these information are combined to gather and some
decision are taken out forms knowledge

5. OVERVIEW
• The data science is a newly developing technology and has a
rich benefits for todays world.
• In 2016 there were no a specific definition for data science.
• However the people used the following terms to call data
science
• Data analytics

6. SO WHAT IS DATA SCIENCE ?
Activity: 2 minutes
Any Idea!

8. COMPOSITION:
• Data science is the intersection of hacking skills, computing
statistics, and knowledge.
• These are the pillars of data science
• A hacking is the ability to build things and find clever solution
to problems
• Mathematics & statistics, ability to solve problems through
linear algebra
• As this subjects we are studying in this semester, so be prepare

9. BIG DATA:
• Organizing the big data through techniques
• Using HADOOP, MAPREDUCE AND SPARK

10. EXAMPLES
• Following are the users of data science
• NETFLIX
• GOOGLE FLU
• OBAMA COMPAIGN
• ALI BABA GROUP
• AMAZON

11. OPPORTUNITY
• Data science is no more than a field of vast knowledge and
experience
• Today a data scientist is earning much more than any post
• A private company DICE ANALYTICS, is organizing workshops
and training programs working for the education in Data
science in Islamabad

12. CHALLENGES
• Cost sensitivity
• Requires high experience
• Strong network bond

13. USES/IMPLEMENTATION
• Some are
• Fraud detection
• Intrusion detection
• Malware detection

14. CONCLUSION
• The benefits of the data science has a wide range.
• It enhance the data mining's
• Can develop a various reforms in digital world.

15. Thank you